Datasets:
BWB metadata for 84 long-document cases
This public release contains no BWB text or reference translations. Obtain BWB Train from the official download and follow the upstream terms. These are project-defined held-out windows from six books, not the official 80-document annotated test. Bands 4K/8K/16K/32K/64K contain 24/24/12/12/12 cases.
Delivered metadata
case-index.jsonl: case IDs, bands, chapter/alignment endpoints and expected source/reference hashes; no source/reference text.chapter-map.jsonl: 1,924 ordered chapters mapped to physical upstream records.books.jsonl: book names, IDs and upstream archive-member information.manifest.jsonandprovenance.json: the original construction and provenance.prompt.txt: the exact generation prompt,zh-en-document-v3.
ordered_record_1based is a project-restored record position, not a title chapter
number. official_aggregate_record_1based is the physical record in
train/<book_id>.chs and .enu. The mapping inverts
sorted(range(record_count), key=lambda i: f'{i}_'); this is a validated project
reconstruction rule, not upstream filename metadata.
Case endpoint indices are half-open alignment-unit intervals in the project canonical book/run. Use the chapter mapping and expected hashes to validate any local reconstruction. This release does not supply an automated BWB reconstruction script; metadata loading alone cannot reproduce the text or reference units. After obtaining matching local text, use the case/prediction formats in the evaluation guide. The two-document evaluator example can be run independently of the corpus.
Selected books: 45, 57, 69, 238, 253 and 254. Book 238 windows do not cross the chapter-58 gap. The metadata describes the existing frozen test and preserves its original quality characteristics.
Cite BlonDe (NAACL 2022) and the upstream discourse annotations (ACL 2023) where applicable. No additional corpus rights are granted by this package.